The objective of the research is to evaluate spatial groundwater quality based on improved fuzzy comprehensive assessment model with entropy weights(FCAEW)in geographical information system(GIS)environment.This paper ...The objective of the research is to evaluate spatial groundwater quality based on improved fuzzy comprehensive assessment model with entropy weights(FCAEW)in geographical information system(GIS)environment.This paper explores the method of comprehensive evaluation of groundwater and sets up an evaluation model applying GIS and FCAEW.Groundwater samples were collected and analyzed from 29 wells in Zhenping County,China.Six parameters were chosen including chloride,sulfate,total hardness,nitrate,fluoride and color.Better spatial interpolation methods for evaluated parameters are found out and selected according to the minimum cross-validation errors from the interpolation methods.FCAEW model was carried out with the help of GIS which makes the evaluating process simpler and easier and more automatically,effectively,efficiently and intelligently.The result embodies the feasibility and effectiveness of FCAEW in GIS when compared with other comprehensive evaluation methods.展开更多
Under the background of vigorously developing facilities of island/reef in the world,the economic value and strategic significance of the island/reef have become increasingly important.Unfortunately,they may easily be...Under the background of vigorously developing facilities of island/reef in the world,the economic value and strategic significance of the island/reef have become increasingly important.Unfortunately,they may easily become the attacking target of missiles in the war time.Therefore,aiming at the damage quantification of the targets in the island/reef under the missile attacking,a macroscopic damage assessment model for the target area is proposed in this paper.The model focuses on the construction of the assessment model framework.Firstly,the analytic hierarchy process and the grey relational analysis are applied to measure the importance of each target in the region through four indicators of the target hazard,striking urgency,damage advantage and mission relevance,respectively.Secondly,based on the damage mechanism of shock wave and fragments to target,the corresponding damage model is established,and the damage grade of each target in the evaluated area is obtained according to the damage criteria and grading standard.Finally,the model obtains the overall damage grade of the target area by employing the fuzzy comprehensive evaluation method,with synthesizing the importance and the damage grade of each target.Through the verification of an example,it demonstrates the certain feasibility of the model and provides a certain basis and reference for the subsequent research.展开更多
Based on the investigation and research on 75 dairy farms in Heilongjiang Province, evaluation index system of dairy farm market risk was set up, and dairy farm market risks were divided into pairing risk, price risk,...Based on the investigation and research on 75 dairy farms in Heilongjiang Province, evaluation index system of dairy farm market risk was set up, and dairy farm market risks were divided into pairing risk, price risk, production risk, contract risk and policy risk, five aspects of a total of 12 assessment indicators. The fuzzy comprehensive evaluation method was used to evaluate the market risk. The evaluation results showed that the market risk of dairy farms in Heilongjiang Province was at low risk; however, the policy risk was high. Finally, according to the results of the assessment, the suggestions was made as the followings: the government should expand the scope of policy insurance for dairy farming, vigorously promote the development of cooperative organizations and intermediary organizations in dairy farms by purchasing services through government, increase their functional roles and establish strict supervision mechanisms, including the establishment of official advice hotline and consultation channel online and improving third-party testing mechanism; government and the department of management industry would improve their abilities of management and do a good job of training and guiding.展开更多
Since there are many interacting influence factors of the comfortable degree of lactating sows,a method that combines improved analytic hierarchy process(IAHP)and fuzzy comprehensive evaluation(FCE)was introduced to c...Since there are many interacting influence factors of the comfortable degree of lactating sows,a method that combines improved analytic hierarchy process(IAHP)and fuzzy comprehensive evaluation(FCE)was introduced to conduct a quantitative evaluation of the comfortable degree.Besides,an evaluation index system was established,and the weights of different indicators were determined by using IAHP method,including temperature,relative humidity,concentrations of carbon dioxide(CO_(2)),ammonia(NH_(3)),hydrogen sulfide(H_(2)S),and air speed.The construction method of fuzzy membership function and the calculation method of the parameters were proposed following the principle that the summation of membership degrees is equal to 1.Three basic types of membership functions(MFs),i.e.,ridgemf,gaussmf,and trimf were used to build an evaluation model which fitted IAHP-FCE well.The proposed method was verified and applied based on the environmental data in different seasons obtained from a pig farm in Zhenjiang City,Jiangsu Province,China.It is demonstrated that the proposed IAHP-FCE model with various types of MFs has drawn a unique and consistent conclusion.Moreover,the IAHP-FCE model has a higher correlation coefficient of 0.874 compared with the single-factor evaluation(SFE)model.The IAHP-FCE model could be served as a beneficial strategy for the precise regulation and early warning of environmental conditions to improve sow welfare.展开更多
基金supported by the National Natural Science Foundation of China(No.41161020)the Introduction of Talent Project of Ningxia University(No.BQD2012013)the Natural Science Foundation of Ningxia University(No.ZR1209)
文摘The objective of the research is to evaluate spatial groundwater quality based on improved fuzzy comprehensive assessment model with entropy weights(FCAEW)in geographical information system(GIS)environment.This paper explores the method of comprehensive evaluation of groundwater and sets up an evaluation model applying GIS and FCAEW.Groundwater samples were collected and analyzed from 29 wells in Zhenping County,China.Six parameters were chosen including chloride,sulfate,total hardness,nitrate,fluoride and color.Better spatial interpolation methods for evaluated parameters are found out and selected according to the minimum cross-validation errors from the interpolation methods.FCAEW model was carried out with the help of GIS which makes the evaluating process simpler and easier and more automatically,effectively,efficiently and intelligently.The result embodies the feasibility and effectiveness of FCAEW in GIS when compared with other comprehensive evaluation methods.
文摘Under the background of vigorously developing facilities of island/reef in the world,the economic value and strategic significance of the island/reef have become increasingly important.Unfortunately,they may easily become the attacking target of missiles in the war time.Therefore,aiming at the damage quantification of the targets in the island/reef under the missile attacking,a macroscopic damage assessment model for the target area is proposed in this paper.The model focuses on the construction of the assessment model framework.Firstly,the analytic hierarchy process and the grey relational analysis are applied to measure the importance of each target in the region through four indicators of the target hazard,striking urgency,damage advantage and mission relevance,respectively.Secondly,based on the damage mechanism of shock wave and fragments to target,the corresponding damage model is established,and the damage grade of each target in the evaluated area is obtained according to the damage criteria and grading standard.Finally,the model obtains the overall damage grade of the target area by employing the fuzzy comprehensive evaluation method,with synthesizing the importance and the damage grade of each target.Through the verification of an example,it demonstrates the certain feasibility of the model and provides a certain basis and reference for the subsequent research.
基金Supported by the National Natural Science Foundation(71673042)the National Natural Science Foundation(71640017)+1 种基金the Special Research Fund for Doctoral Programs in Colleges and Universities(20132325110019)the Natural Science Foundation of Heilongjiang Province(G201413)
文摘Based on the investigation and research on 75 dairy farms in Heilongjiang Province, evaluation index system of dairy farm market risk was set up, and dairy farm market risks were divided into pairing risk, price risk, production risk, contract risk and policy risk, five aspects of a total of 12 assessment indicators. The fuzzy comprehensive evaluation method was used to evaluate the market risk. The evaluation results showed that the market risk of dairy farms in Heilongjiang Province was at low risk; however, the policy risk was high. Finally, according to the results of the assessment, the suggestions was made as the followings: the government should expand the scope of policy insurance for dairy farming, vigorously promote the development of cooperative organizations and intermediary organizations in dairy farms by purchasing services through government, increase their functional roles and establish strict supervision mechanisms, including the establishment of official advice hotline and consultation channel online and improving third-party testing mechanism; government and the department of management industry would improve their abilities of management and do a good job of training and guiding.
基金The study is financially supported by the National Natural Science Foundation of China(Grant No.31172243)Agricultural Science and Technology Independent Innovation Fund Project(Grant No.CX(16)1006)of Jiangsu Province,Advantage Discipline Construction Project(PAPD,No.87-2018)of Jiangsu UniversityPostgraduate Research&Practice Innovation Program of Jiangsu Province(Grant No.KYCX18-2262).
文摘Since there are many interacting influence factors of the comfortable degree of lactating sows,a method that combines improved analytic hierarchy process(IAHP)and fuzzy comprehensive evaluation(FCE)was introduced to conduct a quantitative evaluation of the comfortable degree.Besides,an evaluation index system was established,and the weights of different indicators were determined by using IAHP method,including temperature,relative humidity,concentrations of carbon dioxide(CO_(2)),ammonia(NH_(3)),hydrogen sulfide(H_(2)S),and air speed.The construction method of fuzzy membership function and the calculation method of the parameters were proposed following the principle that the summation of membership degrees is equal to 1.Three basic types of membership functions(MFs),i.e.,ridgemf,gaussmf,and trimf were used to build an evaluation model which fitted IAHP-FCE well.The proposed method was verified and applied based on the environmental data in different seasons obtained from a pig farm in Zhenjiang City,Jiangsu Province,China.It is demonstrated that the proposed IAHP-FCE model with various types of MFs has drawn a unique and consistent conclusion.Moreover,the IAHP-FCE model has a higher correlation coefficient of 0.874 compared with the single-factor evaluation(SFE)model.The IAHP-FCE model could be served as a beneficial strategy for the precise regulation and early warning of environmental conditions to improve sow welfare.